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<table width="100%" summary="page for RepVict"><tr><td>RepVict</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Repeat Victimization Data</h2>

<h3>Description</h3>

<p>Data from Reiss (1980) given by Fienberg (1980) about instances of
repeat victimization for households in the U.S. National Crime
Survey.
</p>


<h3>Usage</h3>

<pre>
data("RepVict")
</pre>


<h3>Format</h3>

<p>A 2-dimensional array resulting from cross-tabulating victimization.
The variables and their levels are as follows:
</p>

<table summary="Rd table">
<tr>
 <td style="text-align: right;">
    No </td><td style="text-align: left;"> Name </td><td style="text-align: left;"> Levels </td>
</tr>
<tr>
 <td style="text-align: right;">
    1 </td><td style="text-align: left;"> First Victimization </td><td style="text-align: left;"> Rape, Assault, Robbery, Pickpocket,
    Personal Larceny, </td>
</tr>
<tr>
 <td style="text-align: right;">
    </td><td style="text-align: left;"> </td><td style="text-align: left;"> Burglary, Household Larceny, Auto Theft </td>
</tr>
<tr>
 <td style="text-align: right;">
    2 </td><td style="text-align: left;"> Second Victimization </td><td style="text-align: left;"> Rape, Assault, Robbery, Pickpocket,
    Personal Larceny,</td>
</tr>
<tr>
 <td style="text-align: right;">
    </td><td style="text-align: left;"> </td><td style="text-align: left;"> Burglary, Household Larceny, Auto Theft
  </td>
</tr>

</table>



<h3>Source</h3>

<p>Michael Friendly (2000),
Visualizing Categorical Data, page 113.
</p>


<h3>References</h3>

<p>S. E. Fienberg (1980),
<em>The Analysis of Cross-Classified Categorical Data</em>,
MIT Press, Cambridge, 2nd edition.
</p>
<p>A. J. J. Reiss (1980),
Victim proneness by type of crime in repeat victimization.
In S. E. Fienberg &amp; A. J. J. Reiss (eds.),
<em>Indicators of Crime and Criminal Justice</em>.
U.S. Government Printing Office, Washington, DC.
</p>
<p>M. Friendly (2000),
<em>Visualizing Categorical Data</em>.
SAS Institute, Cary, NC.
</p>


<h3>Examples</h3>

<pre>
data("RepVict")

mosaic(RepVict[-c(4,7),-c(4,7)], gp = shading_max,
       main = "Repeat Victimization Data")
</pre>


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